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Original Articles

Understanding overall efficiency of hydrostatic pumps and motors

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Pages 106-116 | Received 02 Dec 2017, Accepted 11 May 2018, Published online: 18 Jun 2018
 

ABSTRACT

Pump and motor efficiency is a complex subject, to such an extent that most of the available models describing efficiency today rely on experimental data. In spite of that, mathematical models relating efficiency to pressure and angular speed have been proposed throughout the years. In all these models, volumetric and mechanical efficiencies are separately built from flow and torque losses relations. The overall efficiency model is then obtained by multiplying the volumetric and the mechanical efficiency equations. In this paper, we show that the overall efficiency equations must be developed from an energy balance and show that the simple multiplication of mechanical and volumetric efficiencies can potentially lead to inaccurate results. We then obtain a generalised equation relating the overall efficiency to pressure and angular speed for both pumps and motors and show how the resulting model can be fitted to actual experimental data.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Natural Sciences and Engineering Research Council of Canada [RGPIN 121353–2013].

Notes on contributors

Gustavo Koury Costa

Gustavo Koury Costa works at the Federal Institute of Education, Science and Technology in Recife-PE, Brazil. He received his MSc and DSc degrees from the Federal University of Pernambuco, Brazil. He did his Post-Doctorate in the University of Manitoba, Canada, having become adjunct professor for the Faculty of Mechanical Engineering.

Nariman Sepehri

Nariman Sepehri is a professor with the Department of Mechanical Engineering, at the University of Manitoba, Canada. He received MSc and PhD degrees from the University of British Columbia, Canada. His research and development activities are primarily centred in all fluid power-related aspects of systems, manipulation, diagnosis, and control.

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